Literature DB >> 32030180

A climate-architecture modeling to explore the effect of land use change scenario on building bioclimatic design pattern in order to provide human thermal comfort.

Gh R Roshan1, M Farrokhzad2, J A Orosa3.   

Abstract

Given the role of different land uses in climate change, the present study seeks to identify the effect of land use change on the building bioclimatic design pattern in a dry climatic type. For this purpose, Yazd station in central regions of Iran has been analysed as a representative of dry climate type. The Air Pollution Modelling (TAPM) which is a regional climate software was used to identify the effect of forest cover on climate change in regional dimensions and finally its impact on heating and cooling solutions for buildings. For this study, two scenarios were considered. One scenario was the real situation in the area and the other one was the simulation of the effect of forest cover on climate change in the studied area. Finally, the results of this study revealed that if there is a forest cover, due to the temperature increase in all months of the year, the average annual temperature will increase by 9.20 °C compared to the real conditions. On the other hand, in the forest cover simulation scenario, the relative humidity will increase by 13.4% per year. The findings also showed that, despite forest cover, the annual temperature difference and temperature fluctuations are reduced by 4 °C. Furthermore, the results of this study indicated that if there is a forest cover, the heating requirements will be reduced in total and the demand for the bioclimatic design of cooling and dehumidification will be increased. © Springer Nature Switzerland AG 2019.

Entities:  

Keywords:  Bioclimatic design; Climate Modelling; Energy consumption; Forest cover scenario; Land use

Year:  2019        PMID: 32030180      PMCID: PMC6985392          DOI: 10.1007/s40201-019-00427-1

Source DB:  PubMed          Journal:  J Environ Health Sci Eng


  2 in total

1.  Observed increase in local cooling effect of deforestation at higher latitudes.

Authors:  Xuhui Lee; Michael L Goulden; David Y Hollinger; Alan Barr; T Andrew Black; Gil Bohrer; Rosvel Bracho; Bert Drake; Allen Goldstein; Lianhong Gu; Gabriel Katul; Thomas Kolb; Beverly E Law; Hank Margolis; Tilden Meyers; Russell Monson; William Munger; Ram Oren; Kyaw Tha Paw U; Andrew D Richardson; Hans Peter Schmid; Ralf Staebler; Steven Wofsy; Lei Zhao
Journal:  Nature       Date:  2011-11-16       Impact factor: 49.962

2.  Evaluation of a year-long dispersion modelling of PM10 using the mesoscale model TAPM for Christchurch, New Zealand.

Authors:  Peyman Zawar-Reza; Simon Kingham; Jamie Pearce
Journal:  Sci Total Environ       Date:  2005-10-15       Impact factor: 7.963

  2 in total

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